Data mining algorithms can help expert systems adapt to change by providing them with new and relevant information, updating their knowledge base, and improving their performance and accuracy.

This paper focuses on identifying slow, average and fast learners among students and displaying it by predictive data mining model using classification based algorithms. Student Details have been ...

[4] Pardeep, K., Nitin, V.K. and Sehgal, D.S.C. (2012) A Benchmark to Select Data Mining Based Classification Algorithms for Business Intelligence and Decision Support Systems. International Journal ...

Predict the sales of goods through data mining, and adjust their business models and related business systems. First ... the ecommerce big data classification and mining algorithms are analyzed.

Data mining, the process of discovering ... with dataset analysis using simple classification algorithms. Advanced learners could tackle recommendation systems or complex time series forecasts.

data mining, and intrusion detection. This algorithm is parameter agnostic and does not make assumptions about how the data is distributed, which means it doesn't require an explicit training phase ...

The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more ... as point estimation and genetic algorithms. The ...

Classification, as one of the most important techniques in data mining, has a wide applicable range ... for modeling exceeds the upper limit allocated by the system. The main reason for RF algorithm ...

Load behaviors significantly impact the planning, dispatching, and operation of the modern power systems ... various amounts of data, which causes the class imbalance issue. The traditional load data ...